Dongxiao Ding

681 total citations
21 papers, 538 citations indexed

About

Dongxiao Ding is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dongxiao Ding has authored 21 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dongxiao Ding's work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (7 papers). Dongxiao Ding is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (7 papers). Dongxiao Ding collaborates with scholars based in China and United States. Dongxiao Ding's co-authors include Yi Lin, Sijun Dong, Guozhu Ye, Qiansheng Huang, Yulang Chi, Jie Wei, Yan-Yang Lu, Xiaoxuan Chen, Heqing Shen and Changzhou Yan and has published in prestigious journals such as The Science of The Total Environment, The FASEB Journal and Environmental Pollution.

In The Last Decade

Dongxiao Ding

21 papers receiving 535 citations

Peers

Dongxiao Ding
Yan-Yang Lu China
Xiaoli Guo China
Lianju Shen China
Lianju Shen China
Yubin Liu China
Shangqian Wang China
Jingshen Zhuang China
Mingming Han China
Qinglin Sun China
Yunqiu Pu China
Yan-Yang Lu China
Dongxiao Ding
Citations per year, relative to Dongxiao Ding Dongxiao Ding (= 1×) peers Yan-Yang Lu

Countries citing papers authored by Dongxiao Ding

Since Specialization
Citations

This map shows the geographic impact of Dongxiao Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dongxiao Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongxiao Ding more than expected).

Fields of papers citing papers by Dongxiao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dongxiao Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dongxiao Ding. The network helps show where Dongxiao Ding may publish in the future.

Co-authorship network of co-authors of Dongxiao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Dongxiao Ding. A scholar is included among the top collaborators of Dongxiao Ding based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongxiao Ding. Dongxiao Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shi, Ke, Dan Li, Weimin Luo, et al.. (2025). Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis. BMC Gastroenterology. 25(1). 63–63. 1 indexed citations
2.
Ding, Dongxiao, Wenjun Shang, Ke Shi, et al.. (2024). FTO/m6A mediates miR-138-5p maturation and regulates gefitinib resistance of lung adenocarcinoma cells by miR-138-5p/LCN2 axis. BMC Cancer. 24(1). 1270–1270. 8 indexed citations
3.
Ding, Dongxiao, Yonghua Zhang, Yongbin Chen, et al.. (2024). Circ_BLNK is a Unique Molecular Marker in Non-small Cell Lung Cancer. Biochemical Genetics. 63(1). 104–123. 2 indexed citations
4.
5.
Ding, Dongxiao, et al.. (2023). Bioinformatics identification of a T‐cell‐related signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma. IET Systems Biology. 17(6). 366–377. 2 indexed citations
6.
Ding, Dongxiao, et al.. (2023). Machine learning developed a programmed cell death signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma. Translational Oncology. 38. 101784–101784. 9 indexed citations
7.
Ding, Dongxiao, et al.. (2023). A cuproptosis-related gene signature and associated regulatory axis in stomach adenocarcinoma based on bioinformatics analysis. Medicine. 102(30). e34230–e34230. 4 indexed citations
8.
Ding, Dongxiao, et al.. (2022). MiR-30a-3p Suppresses the Growth and Development of Lung Adenocarcinoma Cells Through Modulating GOLM1/JAK-STAT Signaling. Molecular Biotechnology. 64(10). 1143–1151. 4 indexed citations
9.
10.
Ding, Dongxiao, Qiao Li, Ke Shi, et al.. (2021). LncRNA NEAT1-miR-101-3p/miR-335-5p/miR-374a-3p/miR-628-5p-TRIM6 axis identified as the prognostic biomarker for lung adenocarcinoma via bioinformatics and meta-analysis. Translational Cancer Research. 10(11). 4870–4883. 16 indexed citations
11.
Zhang, Xu, Kai Wen, Dongxiao Ding, et al.. (2021). Size-dependent adverse effects of microplastics on intestinal microbiota and metabolic homeostasis in the marine medaka (Oryzias melastigma). Environment International. 151. 106452–106452. 185 indexed citations
12.
Ying, Junjie, et al.. (2021). miR-342-3p Regulates the Proliferation and Apoptosis of NSCLC Cells by Targeting BCL-2. Technology in Cancer Research & Treatment. 20. 2203783081–2203783081. 19 indexed citations
13.
Wang, Haifeng, Min Guo, Dongxiao Ding, Yang Feng, & Zhongjie Chen. (2020). <p>Long Non-Coding RNA NNT-AS1 Contributes to Cisplatin Resistance via miR-1236-3p/ATG7 Axis in Lung Cancer Cells</p>. OncoTargets and Therapy. Volume 13. 3641–3652. 20 indexed citations
14.
Ye, Guozhu, Han Gao, Yi Lin, et al.. (2019). Peroxisome proliferator-activated receptor A/G reprogrammes metabolism associated with lipid accumulation in macrophages. Metabolomics. 15(3). 36–36. 9 indexed citations
15.
Ye, Guozhu, Dongxiao Ding, Han Gao, et al.. (2019). Comprehensive metabolic responses of HepG2 cells to fine particulate matter exposure: Insights from an untargeted metabolomics. The Science of The Total Environment. 691. 874–884. 25 indexed citations
16.
Ding, Dongxiao, Guozhu Ye, Yi Lin, et al.. (2019). MicroRNA-26a-CD36 signaling pathway: Pivotal role in lipid accumulation in hepatocytes induced by PM2.5 liposoluble extracts. Environmental Pollution. 248. 269–278. 41 indexed citations
17.
Lin, Yi, Dongxiao Ding, Qiansheng Huang, et al.. (2017). Downregulation of miR-192 causes hepatic steatosis and lipid accumulation by inducing SREBF1: Novel mechanism for bisphenol A-triggered non-alcoholic fatty liver disease Molecular and cell biology of lipids. Biochimica et Biophysica Acta. 1 indexed citations
18.
Lin, Yi, Dongxiao Ding, Qiansheng Huang, et al.. (2017). Downregulation of miR-192 causes hepatic steatosis and lipid accumulation by inducing SREBF1: Novel mechanism for bisphenol A-triggered non-alcoholic fatty liver disease. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1862(9). 869–882. 99 indexed citations
19.
Lu, Yan-Yang, Yi Lin, Dongxiao Ding, et al.. (2017). MiR-26a functions as a tumor suppressor in ambient particulate matter-bound metal-triggered lung cancer cell metastasis by targeting LIN28B–IL6–STAT3 axis. Archives of Toxicology. 92(3). 1023–1035. 25 indexed citations
20.
Lu, Yan-Yang, Yi Lin, Han Zhang, et al.. (2016). Evaluation of Volatile Organic Compounds and Carbonyl Compounds Present in the Cabins of Newly Produced, Medium- and Large-Size Coaches in China. International Journal of Environmental Research and Public Health. 13(6). 596–596. 20 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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